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Visualizing the PHATE of Neural Networks

Visualizing the PHATE of Neural Networks

7 August 2019
Scott A. Gigante
Adam S. Charles
Smita Krishnaswamy
Gal Mishne
ArXivPDFHTML

Papers citing "Visualizing the PHATE of Neural Networks"

4 / 4 papers shown
Title
Exploring the Evolution of Hidden Activations with Live-Update
  Visualization
Exploring the Evolution of Hidden Activations with Live-Update Visualization
Xianglin Yang
Jin Song Dong
25
0
0
24 May 2024
Diffusion Curvature for Estimating Local Curvature in High Dimensional
  Data
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
Dhananjay Bhaskar
Kincaid MacDonald
O. Fasina
Dawson Thomas
Bastian Alexander Rieck
Ian M. Adelstein
Smita Krishnaswamy
DiffM
15
7
0
08 Jun 2022
Extendable and invertible manifold learning with geometry regularized
  autoencoders
Extendable and invertible manifold learning with geometry regularized autoencoders
Andres F. Duque
Sacha Morin
Guy Wolf
Kevin R. Moon
20
24
0
14 Jul 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
264
9,136
0
06 Jun 2015
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